31st AAAI 2017: San Francisco, California, USA
Satinder P. Singh, Shaul Markovitch:
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. AAAI Press 2017
Applications
Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash:
SnapNETS: Automatic Segmentation of Network Sequences with Node Labels. 3-9
Franco Berbeglia, Pascal Van Hentenryck:
Taming the Matthew Effect in Online Markets with Social Influence. 10-16
Deblina Bhattacharjee, Anand Paul:
A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation Algorithm. 17-23
Weiran Huang, Liang Li, Wei Chen:
Partitioned Sampling of Public Opinions Based on Their Social Dynamics. 24-30
Yangwei Liu, Hu Ding, Danyang Chen, Jinhui Xu:
Novel Geometric Approach for Global Alignment of PPI Networks. 31-37
Yihui Ma, Jia Jia, Suping Zhou, Jingtian Fu, Yejun Liu, Zijian Tong:
Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach. 38-44
Yongxin Yang, Yu Zheng, Timothy M. Hospedales:
Gated Neural Networks for Option Pricing: Rationality by Design. 52-58
Muhammad Yousefnezhad, Daoqiang Zhang:
Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. 59-65
Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images. 66-72
Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun:
StructInf: Mining Structural Influence from Social Streams. 73-80
Artificial Intelligence and the Web
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. 81-87
Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt:
Marrying Uncertainty and Time in Knowledge Graphs. 88-94
Aleksandr Farseev, Tat-Seng Chua:
TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning. 95-101
Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee:
POI2Vec: Geographical Latent Representation for Predicting Future Visitors. 102-108
Christian Hadiwinoto, Hwee Tou Ng:
A Dependency-Based Neural Reordering Model for Statistical Machine Translation. 109-115
Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang:
Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents. 116-124
Wataru Inariba, Takuya Akiba, Yuichi Yoshida:
Random-Radius Ball Method for Estimating Closeness Centrality. 125-131
Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda:
Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. 132-139
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang:
Treatment Effect Estimation with Data-Driven Variable Decomposition. 140-146
Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. 154-160
Yishuang Ning, Jia Jia, Zhiyong Wu, Runnan Li, Yongsheng An, Yanfeng Wang, Helen M. Meng:
Multi-Task Deep Learning for User Intention Understanding in Speech Interaction Systems. 161-167
Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo:
Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture. 168-174
Mohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros, Axel-Cyrille Ngonga Ngomo:
Radon - Rapid Discovery of Topological Relations. 175-181
Xiaoshuai Sun, Jiewei Cao, Chao Li, Lei Zhu, Heng Tao Shen:
Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual Similarity. 182-188
Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon:
Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. 189-195
Sida Wang, Xiaojun Wan, Shikang Du:
Phrase-Based Presentation Slides Generation for Academic Papers. 196-202
Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li:
CLARE: A Joint Approach to Label Classification and Tag Recommendation. 210-216
Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye:
Multiple Source Detection without Knowing the Underlying Propagation Model. 217-223
Jufeng Yang, Ming Sun, Xiaoxiao Sun:
Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network. 224-230
Quanzeng You, Hailin Jin, Jiebo Luo:
Visual Sentiment Analysis by Attending on Local Image Regions. 231-237
Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha:
Correlated Cascades: Compete or Cooperate. 238-244
Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem. 245-251
Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun:
Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising. 252-258
Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li:
Expectile Matrix Factorization for Skewed Data Analysis. 259-266
Cognitive Modeling and Cognitive Systems
Arya Mazumdar, Ankit Singh Rawat:
Associative Memory Using Dictionary Learning and Expander Decoding. 267-273
Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen:
An Integrated Model for Effective Saliency Prediction. 274-281
Game Playing and Interactive Entertainment
Michael John Schofield, Michael Thielscher:
The Efficiency of the HyperPlay Technique Over Random Sampling. 282-290
Game Theory and Economic Paradigms
Melika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami:
Market Pricing for Data Streams. 291-297
Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan:
Incentivising Monitoring in Open Normative Systems. 305-311
Reza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad S. Tajik:
Envy-Free Mechanisms with Minimum Number of Cuts. 312-318
Shani Alkoby, David Sarne, Igal Milchtaich:
Strategic Signaling and Free Information Disclosure in Auctions. 319-327
Haris Aziz, Sylvain Bouveret, Jérôme Lang, Simon Mackenzie:
Complexity of Manipulating Sequential Allocation. 328-334
Haris Aziz, Gerhard Rauchecker, Guido Schryen, Toby Walsh:
Algorithms for Max-Min Share Fair Allocation of Indivisible Chores. 335-341
Alkida Balliu, Michele Flammini, Giovanna Melideo, Dennis Olivetti:
Nash Stability in Social Distance Games. 342-348
Alkida Balliu, Michele Flammini, Dennis Olivetti:
On Pareto Optimality in Social Distance Games. 349-355
Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti:
Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms. 356-362
MohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni, Saeed Seddighin:
A Study of Compact Reserve Pricing Languages. 363-368
Soheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin:
Faster and Simpler Algorithm for Optimal Strategies of Blotto Game. 369-375
Gerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah:
Preference Elicitation For Participatory Budgeting. 376-382
Kimmo Berg, Tuomas Sandholm:
Exclusion Method for Finding Nash Equilibrium in Multiplayer Games. 383-389
Robert Bredereck, Jiehua Chen, Rolf Niedermeier, Svetlana Obraztsova, Nimrod Talmon:
Teams in Online Scheduling Polls: Game-Theoretic Aspects. 390-396
Gianluca Brero, Benjamin Lubin, Sven Seuken:
Probably Approximately Efficient Combinatorial Auctions via Machine Learning. 397-405
Markus Brill, Rupert Freeman, Svante Janson, Martin Lackner:
Phragmén's Voting Methods and Justified Representation. 406-413
Markus Brill, Jean-François Laslier, Piotr Skowron:
Multiwinner Approval Rules as Apportionment Methods. 414-420
Noam Brown, Christian Kroer, Tuomas Sandholm:
Dynamic Thresholding and Pruning for Regret Minimization. 421-429
Ioannis Caragiannis, Xenophon Chatzigeorgiou, George A. Krimpas, Alexandros A. Voudouris:
Optimizing Positional Scoring Rules for Rank Aggregation. 430-436
Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi:
On Markov Games Played by Bayesian and Boundedly-Rational Players. 437-4443
Lijie Chen, Pingzhong Tang, Ruosong Wang:
Bounded Rationality of Restricted Turing Machines. 444-450
Theresa Csar, Martin Lackner, Reinhard Pichler, Emanuel Sallinger:
Winner Determination in Huge Elections with MapReduce. 451-458
Marek Cygan, Lukasz Kowalik, Arkadiusz Socala, Krzysztof Sornat:
Approximation and Parameterized Complexity of Minimax Approval Voting. 459-465
Argyrios Deligkas, George B. Mertzios, Paul G. Spirakis:
The Computational Complexity of Weighted Greedy Matching. 466-474
Yuan Deng, Debmalya Panigrahi, Bo Waggoner:
The Complexity of Stable Matchings under Substitutable Preferences. 480-486
John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm:
Small Representations of Big Kidney Exchange Graphs. 487-493
Edith Elkind, Piotr Faliszewski, Jean-François Laslier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon:
What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain. 494-501
Gabriele Farina, Nicola Gatti:
Extensive-Form Perfect Equilibrium Computation in Two-Player Games. 502-508
Diodato Ferraioli, Carmine Ventre:
Obvious Strategyproofness Needs Monitoring for Good Approximations. 516-522
Rupert Freeman, Sébastien Lahaie, David M. Pennock:
Crowdsourced Outcome Determination in Prediction Markets. 523-529
Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu:
Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents. 537-543
Stephen Gross, Elliot Anshelevich, Lirong Xia:
Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity. 544-550
Karel Horák, Branislav Bosanský, Michal Pechoucek:
Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games. 558-564
Albert Xin Jiang, Hau Chan, Kevin Leyton-Brown:
Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces. 572-578

Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An:
Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. 593-599
Yang Liu, Yiling Chen:
Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. 607-613
Wenjun Ma, Xudong Luo, Yuncheng Jiang:
An Ambiguity Aversion Model for Decision Making under Ambiguity. 614-621
Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi:
Optimal Pricing for Submodular Valuations with Bounded Curvature. 622-628
Luis E. Ortiz, Mohammad Tanvir Irfan:
Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure. 635-641

Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz:
Psychological Forest: Predicting Human Behavior. 656-662
Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Revenue Maximization for Finitely Repeated Ad Auctions. 663-669
Luis Sánchez Fernández, Edith Elkind, Martin Lackner, Norberto Fernández García, Jesús Arias-Fisteus, Pablo Basanta-Val, Piotr Skowron:
Proportional Justified Representation. 670-676
Fuuki Shigenaka, Tadashi Sekiguchi, Atsushi Iwasaki, Makoto Yokoo:
Achieving Sustainable Cooperation in Generalized Prisoner's Dilemma with Observation Errors. 677-683

Oskar Skibski, Tomasz P. Michalak, Talal Rahwan:
Axiomatic Characterization of Game-Theoretic Network Centralities. 698-705
Piotr Krzysztof Skowron, Edith Elkind:
Social Choice Under Metric Preferences: Scoring Rules and STV. 706-712
Pingzhong Tang, Yulong Zeng, Song Zuo:
Fans Economy and All-Pay Auctions with Proportional Allocations. 713-719
David R. M. Thompson, Neil Newman, Kevin Leyton-Brown:
The Positronic Economist: A Computational System for Analyzing Economic Mechanisms. 720-727
Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings:
The Dollar Auction with Spiteful Players. 736-742
Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu:
Randomized Mechanisms for Selling Reserved Instances in Cloud Computing. 750-757
Heuristic Search and Optimization
Abdullah Al-Dujaili, Sundaram Suresh:
Embedded Bandits for Large-Scale Black-Box Optimization. 758-764
Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney:
Reactive Dialectic Search Portfolios for MaxSAT. 765-772
Andre Biedenkapp, Marius Thomas Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos:
Efficient Parameter Importance Analysis via Ablation with Surrogates. 773-779
Eldan Cohen, J. Christopher Beck:
Problem Difficulty and the Phase Transition in Heuristic Search. 780-786
Toby O. Davies, Graeme Gange, Peter J. Stuckey:
Automatic Logic-Based Benders Decomposition with MiniZinc. 787-793
Cong Fang, Zhouchen Lin:
Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization. 794-800
Tobias Friedrich, Timo Kötzing, Markus Wagner:
A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. 801-807
Robert Ganian, Sebastian Ordyniak, M. S. Ramanujan:
Going Beyond Primal Treewidth for (M)ILP. 815-821
Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Annette Shoemaker:
Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates. 822-829
Hua Jiang, Chu-Min Li, Felip Manyà:
An Exact Algorithm for the Maximum Weight Clique Problem in Large Graphs. 830-838
Yuu Jinnai, Alex S. Fukunaga:
Learning to Prune Dominated Action Sequences in Online Black-Box Planning. 839-845
Maximilian Katzmann, Christian Komusiewicz:
Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem. 846-852
Clément Lecat, Corinne Lucet, Chu-Min Li:
New Lower Bound for the Minimum Sum Coloring Problem. 853-859
Qi Lou, Rina Dechter, Alexander T. Ihler:
Anytime Anyspace AND/OR Search for Bounding the Partition Function. 860-867
Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata:
Dancing with Decision Diagrams: A Combined Approach to Exact Cover. 868-874



Tasuku Soma, Yuichi Yoshida:
Regret Ratio Minimization in Multi-Objective Submodular Function Maximization. 905-911
Mingyu Xiao, Weibo Lin, Yuanshun Dai, Yifeng Zeng:
A Fast Algorithm to Compute Maximum k-Plexes in Social Network Analysis. 919-925
Jie Zhang, Lijun Zhang:
Efficient Stochastic Optimization for Low-Rank Distance Metric Learning. 933-940
Human-Aware Artificial Intelligence
Taleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu:
Examples-Rules Guided Deep Neural Network for Makeup Recommendation. 941-947
Tuka Waddah AlHanai, Mohammad Mahdi Ghassemi:
Predicting Latent Narrative Mood Using Audio and Physiologic Data. 948-954
Joseph Kim, Christopher J. Banks, Julie A. Shah:
Collaborative Planning with Encoding of Users' High-Level Strategies. 955-962
Human Computation and Crowd Sourcing
Ethan Fast, Eric Horvitz:
Long-Term Trends in the Public Perception of Artificial Intelligence. 963-969
Arya Mazumdar, Barna Saha:
A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution. 970-976
Takeru Sunahase, Yukino Baba, Hisashi Kashima:
Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. 977-984
Humans and Artificial Intelligence
Shani Alkoby, David Sarne:
The Benefit in Free Information Disclosure When Selling Information to People. 985-992
Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus:
Psychologically Based Virtual-Suspect for Interrogative Interview Training. 993-1000
Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park:
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. 1001-1009
Igor Labutov, Christoph Studer:
JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading. 1010-1016
Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann:
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. 1017-1025
Shan Wu, Shangfei Wang, Qiang Ji:
Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data. 1026-1033
Knowledge Representation and Reasoning
Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca:
On the Computation of Paracoherent Answer Sets. 1034-1040
Vernon Asuncion, Yan Zhang, Heng Zhang:
Polynomially Bounded Logic Programs with Function Symbols: A New Decidable. 1041-1047
Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance:
Abstraction in Situation Calculus Action Theories. 1048-1055
Michael Benedikt, Bernardo Cuenca Grau, Egor V. Kostylev:
Source Information Disclosure in Ontology-Based Data Integration. 1056-1062
Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Queries for Probabilistic Databases. 1063-1069
Sebastian Brandt, Elem Güzel Kalayci, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev:
Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic. 1070-1076
Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran:
Solving Advanced Argumentation Problems with Answer-Set Programming. 1077-1083
Quentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau:
Checking the Consistency of Combined Qualitative Constraint Networks. 1084-1090
Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Sergio Tessaris:
Add Data into Business Process Verification: Bridging the Gap between Theory and Practice. 1091-1099
Jianfeng Du, Hai Wan, Huaguan Ma:
Practical TBox Abduction Based on Justification Patterns. 1100-1106
Nausheen Fatma, Manoj Kumar Chinnakotla, Manish Shrivastava:
The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs. 1107-1113
Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran:
Ontology Materialization by Abstraction Refinement in Horn SHOIF. 1114-1120
Víctor Gutiérrez-Basulto, Yazmin Angélica Ibáñez-García, Jean Christoph Jung:
Number Restrictions on Transitive Roles in Description Logics with Nominals. 1121-1127
Emmanuel Hadoux, Anthony Hunter:
Strategic Sequences of Arguments for Persuasion Using Decision Trees. 1128-1134
Matthew Harrison-Trainor, Wesley H. Holliday, Thomas F. Icard III:
Preferential Structures for Comparative Probabilistic Reasoning. 1135-1141
André Hernich, Julio Lemos, Frank Wolter:
Query Answering in DL-Lite with Datatypes: A Non-Uniform Approach. 1142-1148
Hassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon:
Diagnosability Planning for Controllable Discrete Event Systems. 1149-1155
Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi:
Entropic Causal Inference. 1156-1162
Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
SAT Encodings for Distance-Based Belief Merging Operators. 1163-1169
Jiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang:
Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy. 1178-1184
Jiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang, Pinpin Zhu:
On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies. 1185-1191
Hengyang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie:
Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery. 1192-1198
Nadeschda Nikitina, Patrick Koopmann:
Small Is Beautiful: Computing Minimal Equivalent EL Concepts. 1206-1212
Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata:
Compiling Graph Substructures into Sentential Decision Diagrams. 1213-1221
Christoph Redl:
Efficient Evaluation of Answer Set Programs with External Sources Based on External Source Inlining. 1222-1228
Christoph Redl:
On Equivalence and Inconsistency of Answer Set Programs with External Sources. 1229-1235
Yi Tay, Anh Tuan Luu, Siu Cheung Hui:
Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs. 1243-1249
Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan:
Causal Discovery Using Regression-Based Conditional Independence Tests. 1250-1256
Mengxue Zhang, Tushar Mathew, Brendan A. Juba:
An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction. 1257-1265
Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks:
Trust-Sensitive Evolution of DL-Lite Knowledge Bases. 1266-1273
Machine Learning Applications
Scott Alfeld, Xiaojin Zhu, Paul Barford:
Explicit Defense Actions Against Test-Set Attacks. 1274-1280
Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian:
Multidimensional Scaling on Multiple Input Distance Matrices. 1281-1287
Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava:
ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. 1288-1294
Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. 1295-1301
Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis:
Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. 1302-1308
Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang:
A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems. 1309-1315
Li Gao, Jia Wu, Chuan Zhou, Yue Hu:
Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. 1316-1322
Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen:
Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton. 1323-1330
Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han:
Active Learning with Cross-Class Similarity Transfer. 1338-1344
Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade:
DeepFix: Fixing Common C Language Errors by Deep Learning. 1345-1351
Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu:
Question Difficulty Prediction for READING Problems in Standard Tests. 1352-1359
Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang:
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. 1367-1373
Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen:
Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification. 1374-1381
Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal:
Contextual RNN-GANs for Abstract Reasoning Diagram Generation. 1382-1388
Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson:
A Framework for Minimal Clustering Modification via Constraint Programming. 1389-1395
Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein:
Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. 1396-1402
Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha:
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. 1403-1409
Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
Learning with Feature Network and Label Network Simultaneously. 1410-1416
Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang:
ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy. 1424-1430
Feng Liu, Shouyi Wang, Jay Rosenberger, Jianzhong Su, Hanli Liu:
A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping. 1431-1437
Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu:
On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. 1438-1444
Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen:
Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks. 1445-1452
Anton Milan, Seyed Hamid Rezatofighi, Ravi Garg, Anthony R. Dick, Ian D. Reid:
Data-Driven Approximations to NP-Hard Problems. 1453-1459
Omar Montasser, Daniel Kifer:
Predicting Demographics of High-Resolution Geographies with Geotagged Tweets. 1460-1466
Arun Reddy Nelakurthi, Jingrui He:
Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization. 1467-1473
Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen:
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. 1474-1480
Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka:
Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. 1481-1487
Siamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabás Póczos:
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images. 1488-1494
Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha:
Unsupervised Deep Learning for Optical Flow Estimation. 1495-1501
Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas:
Low-Rank Linear Cold-Start Recommendation from Social Data. 1502-1508
Wenling Shang, Justin Chiu, Kihyuk Sohn:
Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. 1509-1516
Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen:
Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. 1524-1531
Masamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi:
Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction. 1532-1538

Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor:
A Deep Hierarchical Approach to Lifelong Learning in Minecraft. 1553-1561
Jingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong:
Coupling Implicit and Explicit Knowledge for Customer Volume Prediction. 1569-1575
Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao:
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation. 1576-1582
Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang:
Multiset Feature Learning for Highly Imbalanced Data Classification. 1583-1589
Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang:
Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. 1590-1596
Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu:
Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. 1597-1603
Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar:
Progressive Prediction of Student Performance in College Programs. 1604-1610
Linli Xu, Chao Zhang:
Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments. 1611-1617
Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao:
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. 1618-1625
Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. 1633-1639
Haiyan Yin, Sinno Jialin Pan:
Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. 1640-1646
Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar:
Personalized Donor-Recipient Matching for Organ Transplantation. 1647-1654
Junbo Zhang, Yu Zheng, Dekang Qi:
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction. 1655-1661
Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You:
Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction. 1662-1668
Yan Zhang, Defu Lian, Guowu Yang:
Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback. 1669-1675
Machine Learning Methods
Tameem Adel, Cassio Polpo de Campos:
Learning Bayesian Networks with Incomplete Data by Augmentation. 1684-1690
Tameem Adel, Han Zhao, Alexander Wong:
Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption. 1691-1697
Apoorv Aggarwal, Sandip Ghoshal, Ankith M. S. Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain:
Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. 1698-1704
Francesco Aldà, Benjamin I. P. Rubinstein:
The Bernstein Mechanism: Function Release under Differential Privacy. 1705-1711
Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher:
Heavy-Tailed Analogues of the Covariance Matrix for ICA. 1712-1718
Shuang Ao, Xiang Li, Charles X. Ling:
Fast Generalized Distillation for Semi-Supervised Domain Adaptation. 1719-1725
Maria-Florina Balcan, Travis Dick, Yishay Mansour:
Label Efficient Learning by Exploiting Multi-Class Output Codes. 1735-1741
Sebastian Berndt, Maciej Liskiewicz, Matthias Lutter, Rüdiger Reischuk:
Learning Residual Alternating Automata. 1749-1755
Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama:
Resource Constrained Structured Prediction. 1756-1762
Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang:
Cross-Domain Kernel Induction for Transfer Learning. 1763-1769
Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan:
PAC Identification of a Bandit Arm Relative to a Reward Quantile. 1777-1783

Lin Chen, Seyed Hamed Hassani, Amin Karbasi:
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting. 1798-1804
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. 1805-1811
Zihao Chen, Luo Luo, Zhihua Zhang:
Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features. 1812-1818
Zachary Alan Daniels, Dimitris N. Metaxas:
Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests. 1826-1832
Sakyasingha Dasgupta, Takayuki Osogami:
Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction. 1833-1839
Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli:
Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems. 1840-1846
Salam El Bsat, Haitham Bou-Ammar, Matthew E. Taylor:
Scalable Multitask Policy Gradient Reinforcement Learning. 1847-1853
Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. 1854-1860
Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart J. Russell:
A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models. 1861-1869
Mingyu Fan, Xiaojun Chang, Dacheng Tao:
Structure Regularized Unsupervised Discriminant Feature Analysis. 1870-1876
Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu:
Self-Paced Learning: An Implicit Regularization Perspective. 1877-1883
Kyle D. Feuz, Diane J. Cook:
Modeling Skewed Class Distributions by Reshaping the Concept Space. 1891-1897
Ravi Ganti, Nikhil S. Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak:
On Learning High Dimensional Structured Single Index Models. 1898-1904
Hongchang Gao, Feiping Nie, Heng Huang:
Local Centroids Structured Non-Negative Matrix Factorization. 1905-1911
Mike Gartrell, Ulrich Paquet, Noam Koenigstein:
Low-Rank Factorization of Determinantal Point Processes. 1912-1918
Aritra Ghosh, Himanshu Kumar, P. S. Sastry:
Robust Loss Functions under Label Noise for Deep Neural Networks. 1919-1925
Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. 1934-1940
Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus:
Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected. 1941-1947
Xiawei Guo, Quanming Yao, James Tin-Yau Kwok:
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm. 1948-1954
Chao Han, Mohamed F. Ghalwash, Zoran Obradovic:
Continuous Conditional Dependency Network for Structured Regression. 1962-1968
Junwei Han, Kun Song, Feiping Nie, Xuelong Li:
Bilateral k-Means Algorithm for Fast Co-Clustering. 1969-1975
Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu:
Alternating Back-Propagation for Generator Network. 1976-1984
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi:
Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling. 1992-1999
Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan:
Learning Invariant Deep Representation for NIR-VIS Face Recognition. 2000-2006
Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low:
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. 2007-2014
Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv:
Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. 2015-2021
Brian Hrolenok, Byron Boots, Tucker Hybinette Balch:
Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems. 2022-2028

Zhouyuan Huo, Heng Huang:
Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. 2043-2049
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio:
Denoising Criterion for Variational Auto-Encoding Framework. 2059-2065
Shantanu Jain, Martha White, Predrag Radivojac:
Recovering True Classifier Performance in Positive-Unlabeled Learning. 2066-2072
Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu:
Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning. 2073-2079
Zhao Kang, Chong Peng, Qiang Cheng:
Twin Learning for Similarity and Clustering: A Unified Kernel Approach. 2080-2086
Gil Keren, Sivan Sabato, Björn W. Schuller:
Tunable Sensitivity to Large Errors in Neural Network Training. 2087-2093
Rahul G. Krishnan, Uri Shalit, David Sontag:
Structured Inference Networks for Nonlinear State Space Models. 2101-2109
Atsutoshi Kumagai, Tomoharu Iwata:
Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance. 2117-2123
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz:
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration. 2124-2132
Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran:
Dynamic Action Repetition for Deep Reinforcement Learning. 2133-2139
Guillaume Lample, Devendra Singh Chaplot:
Playing FPS Games with Deep Reinforcement Learning. 2140-2146
Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon:
Transfer Learning for Deep Learning on Graph-Structured Data. 2154-2160
Zhixian Lei, Xuehan Ye, Yongcai Wang, Deying Li, Jia Xu:
Efficient Online Model Adaptation by Incremental Simplex Tableau. 2161-2167
Rémi Lemonnier, Kevin Scaman, Argyris Kalogeratos:
Multivariate Hawkes Processes for Large-Scale Inference. 2168-2174
Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha:
Self-Paced Multi-Task Learning. 2175-2181



Xutao Li, Yunming Ye, Xiaofei Xu:
Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting. 2210-2216
Yu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou:
Learning Safe Prediction for Semi-Supervised Regression. 2217-2223
Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin:
A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis. 2224-2230
Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li:
Balanced Clustering with Least Square Regression. 2231-2237
Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang:
Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. 2238-2244
Jiaming Liu, Yali Wang, Yu Qiao:
Sparse Deep Transfer Learning for Convolutional Neural Network. 2245-2251
Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. 2252-2258
Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel k-Means with Incomplete Kernels. 2259-2265
Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin:
Optimal Neighborhood Kernel Clustering with Multiple Kernels. 2266-2272
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang:
Generalization Analysis for Ranking Using Integral Operator. 2273-2279
Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang:
Infinite Kernel Learning: Generalization Bounds and Algorithms. 2280-2286
Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang:
Semi-Supervised Classifications via Elastic and Robust Embedding. 2294-2300
Zhuanghua Liu, Ivor W. Tsang:
Approximate Conditional Gradient Descent on Multi-Class Classification. 2301-2307
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. 2308-2314
Yifei Ma, Roman Garnett, Jeff G. Schneider:
Active Search for Sparse Signals with Region Sensing. 2315-2321
Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovic:
Where to Add Actions in Human-in-the-Loop Reinforcement Learning. 2322-2328
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. 2329-2335
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. 2336-2342
Hrushikesh Mhaskar, Qianli Liao, Tomaso A. Poggio:
When and Why Are Deep Networks Better Than Shallow Ones? 2343-2349
Martin Mladenov, Leonard Kleinhans, Kristian Kersting:
Lifted Inference for Convex Quadratic Programs. 2350-2356
Alejandro Molina, Sriraam Natarajan, Kristian Kersting:
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. 2357-2363
Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou:
Streaming Classification with Emerging New Class by Class Matrix Sketching. 2373-2379
Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen:
Tsallis Regularized Optimal Transport and Ecological Inference. 2387-2393
Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson:
Querying Partially Labelled Data to Improve a K-nn Classifier. 2401-2407
Feiping Nie, Guohao Cai, Xuelong Li:
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours. 2408-2414
Feiping Nie, Xiaoqian Wang, Heng Huang:
Multiclass Capped ℓp-Norm SVM for Robust Classifications. 2415-2421
Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis:
Matching Node Embeddings for Graph Similarity. 2429-2435
U. N. Niranjan, Arun Rajkumar:
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier. 2436-2442
Dino Oglic, Roman Garnett, Thomas Gärtner:
Active Search in Intensionally Specified Structured Spaces. 2443-2449
Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti:
Unimodal Thompson Sampling for Graph-Structured Arms. 2457-2463
Yangchen Pan, Adam M. White, Martha White:
Accelerated Gradient Temporal Difference Learning. 2464-2470
Hanyang Peng, Yong Fan:
A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization. 2471-2477
Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. 2485-2491
Reihaneh Rabbany, Osmar R. Zaïane:
A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters. 2492-2498
Carlos Riquelme, Ramesh Johari, Baosen Zhang:
Online Active Linear Regression via Thresholding. 2506-2512
Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma:
Adaptive Proximal Average Approximation for Composite Convex Minimization. 2513-2519
Weiwei Shen, Zhihui Yang, Jun Wang:
Random Features for Shift-Invariant Kernels with Moment Matching. 2520-2526
Xiao-Bo Shen, Weiwei Liu, Ivor W. Tsang, Fumin Shen, Quan-Sen Sun:
Compressed K-Means for Large-Scale Clustering. 2527-2533
Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao:
Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. 2534-2540
Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang:
Asymmetric Discrete Graph Hashing. 2541-2547
Jeong Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim:
Spectral Clustering with Brainstorming Process for Multi-View Data. 2548-2554
Kun Song, Feiping Nie, Junwei Han, Xuelong Li:
Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning. 2555-2561
Xiaonan Song, Haiping Lu:
Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis. 2562-2568
Stergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis:
Distributed Negative Sampling for Word Embeddings. 2569-2575
Russell Stewart, Stefano Ermon:
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge. 2576-2582
Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin:
Unsupervised Learning with Truncated Gaussian Graphical Models. 2583-2589
Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone:
Automatic Curriculum Graph Generation for Reinforcement Learning Agents. 2590-2596



Wei Tang, Gang Hua, Liang Wang:
How to Train a Compact Binary Neural Network with High Accuracy? 2625-2631
Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama:
Policy Search with High-Dimensional Context Variables. 2632-2638
Stefano Teso, Paolo Dragone, Andrea Passerini:
Coactive Critiquing: Elicitation of Preferences and Features. 2639-2645
Aristide Charles Yedia Tossou, Christos Dimitrakakis:
Achieving Privacy in the Adversarial Multi-Armed Bandit. 2653-2659
Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi:
Thompson Sampling for Stochastic Bandits with Graph Feedback. 2660-2666
Sebastian Tschiatschek, Adish Singla, Andreas Krause:
Selecting Sequences of Items via Submodular Maximization. 2667-2673
Christiaan Maarten van der Walt, Etienne Barnard:
Variable Kernel Density Estimation in High-Dimensional Feature Spaces. 2674-2680
Hao Wang, Xingjian Shi, Dit-Yan Yeung:
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction. 2688-2694
Huazheng Wang, Qingyun Wu, Hongning Wang:
Factorization Bandits for Interactive Recommendation. 2695-2702
Po-Wei Wang, Chun-Liang Li, J. Zico Kolter:
Polynomial Optimization Methods for Matrix Factorization. 2710-2717

Wei Wang, Hao Wang, Chen Zhang, Yang Gao:
Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation. 2732-2738
Yi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo:
Fast Online Incremental Learning on Mixture Streaming Data. 2739-2745
Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang:
Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. 2746-2753
Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia:
Unbiased Multivariate Correlation Analysis. 2754-2760
Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Beyond RPCA: Flattening Complex Noise in the Frequency Domain. 2761-2767
Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang:
Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding. 2768-2774
Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu:
Rank Ordering Constraints Elimination with Application for Kernel Learning. 2775-2781
Hai-Ming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang:
Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. 2782-2788
Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer:
Cleaning the Null Space: A Privacy Mechanism for Predictors. 2789-2795
Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang:
Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. 2796-2802
Zheng Xu, Junzhou Huang:
A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning. 2803-2809
Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao:
Multi-View Correlated Feature Learning by Uncovering Shared Component. 2810-2816
Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen:
A Framework of Online Learning with Imbalanced Streaming Data. 2817-2823
Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang:
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. 2824-2830
Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou:
Deep Learning for Fixed Model Reuse. 2831-2837
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang:
Learning Deep Latent Space for Multi-Label Classification. 2838-2844
Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin:
A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. 2845-2851
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu:
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. 2852-2858
Xiaotian Yu, Michael R. Lyu, Irwin King:
CBRAP: Contextual Bandits with RAndom Projection. 2859-2866
Ganzhao Yuan, Bernard Ghanem:
An Exact Penalty Method for Binary Optimization Based on MPEC Formulation. 2867-2875
Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam:
Scalable Feature Selection via Distributed Diversity Maximization. 2876-2883
Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu:
Fast Compressive Phase Retrieval under Bounded Noise. 2884-2890
Jiakai Zhang, Kyunghyun Cho:
Query-Efficient Imitation Learning for End-to-End Simulated Driving. 2891-2897
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. 2898-2906

Handong Zhao, Zhengming Ding, Yun Fu:
Multi-View Clustering via Deep Matrix Factorization. 2921-2927
Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li:
SCOPE: Scalable Composite Optimization for Learning on Spark. 2928-2934
Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao:
Scalable Graph Embedding for Asymmetric Proximity. 2942-2948
Yang Zhou, Haiping Lu, Yiu-ming Cheung:
Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations. 2949-2955
Yuxun Zhou, Zhaoyi Kang, Costas J. Spanos:
Parametric Dual Maximization for Non-Convex Learning Problems. 2956-2962
Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu:
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace. 2963-2969
Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu:
Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification. 2970-2976
Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou:
Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning. 2977-2984
Multiagent Systems
Rashi Aswani, Sai Krishna Munnangi, Praveen Paruchuri:
Improving Surveillance Using Cooperative Target Observation. 2985-2991
The Anh Han, Luís Moniz Pereira, Luis A. Martinez-Vaquero, Tom Lenaerts:
Centralized versus Personalized Commitments and Their Influence on Cooperation in Group Interactions. 2999-3005
Özgür Kafali, Nirav Ajmeri, Munindar P. Singh:
Kont: Computing Tradeoffs in Normative Multiagent Systems. 3006-3012
Panagiotis Kouvaros, Alessio Lomuscio:
Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction. 3013-3020
Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar:
Decentralized Planning in Stochastic Environments with Submodular Rewards. 3021-3028
Marc Neveling, Jörg Rothe:
Solving Seven Open Problems of Offline and Online Control in Borda Elections. 3029-3035
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Collective Multiagent Sequential Decision Making Under Uncertainty. 3036-3043
Igor Rochlin, David Sarne, Maytal Bremer, Ben Grynhaus:
Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting. 3044-3052
Natural Language Processing and Knowledge Representation
Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei:
Improving Multi-Document Summarization via Text Classification. 3053-3059
Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao:
Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. 3060-3066
Ramesh Nallapati, Feifei Zhai, Bowen Zhou:
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. 3075-3081
Subhro Roy, Dan Roth:
Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving. 3082-3088
Saku Sugawara, Hikaru Yokono, Akiko Aizawa:
Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems. 3089-3096
Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
Neural Machine Translation with Reconstruction. 3097-3103
Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu:
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. 3104-3110
Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen:
Efficiently Answering Technical Questions - A Knowledge Graph Approach. 3111-3118
Liang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen:
Incorporating Knowledge Graph Embeddings into Topic Modeling. 3119-3126
Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv:
A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. 3127-3134
Natural Language Processing and Machine Learning

Shaosheng Cao, Wei Lu:
Improving Word Embeddings with Convolutional Feature Learning and Subword Information. 3144-3151
Ziqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li:
Joint Copying and Restricted Generation for Paraphrase. 3152-3158
Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III:
Unsupervised Learning of Evolving Relationships Between Literary Characters. 3159-3165
Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu:
Translation Prediction with Source Dependency-Based Context Representation. 3166-3172
Yong Cheng, Yang Liu, Wei Xu:
Maximum Reconstruction Estimation for Generative Latent-Variable Models. 3173-3179
Sujatha Das Gollapalli, Xiaoli Li, Peng Yang:
Incorporating Expert Knowledge into Keyphrase Extraction. 3180-3187
Matt Gardner, Jayant Krishnamurthy:
Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge. 3195-3201
Kaveh Hassani, Won-Sook Lee:
Disambiguating Spatial Prepositions Using Deep Convolutional Networks. 3209-3215
Hangfeng He, Xu Sun:
A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. 3216-3222
Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang:
Recurrent Attentional Topic Model. 3223-3229
Changsheng Liu, Rebecca Hwa:
Representations of Context in Recognizing the Figurative and Literal Usages of Idioms. 3230-3236
Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita:
Deterministic Attention for Sequence-to-Sequence Constituent Parsing. 3237-3243
Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen:
S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions. 3244-3251
Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Coherent Dialogue with Attention-Based Language Models. 3252-3258
Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey:
Definition Modeling: Learning to Define Word Embeddings in Natural Language. 3259-3266
Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu:
Incrementally Learning the Hierarchical Softmax Function for Neural Language Models. 3267-3273
Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan, Vivek V. Datla, Kathy Lee, Ashequl Qadir, Joey Liu, Oladimeji Farri:
Condensed Memory Networks for Clinical Diagnostic Inferencing. 3274-3280
Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme:
Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. 3281-3287
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville:
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. 3288-3294
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio:
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. 3295-3301
Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu:
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. 3302-3308
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. 3316-3322
Xiaolong Wang, Jingjing Wang, Chengxiang Zhai:
Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding. 3323-3329
Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. 3330-3336
Huijia Wu, Jiajun Zhang, Chengqing Zong:
A Dynamic Window Neural Network for CCG Supertagging. 3337-3343
Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary:
Distinguish Polarity in Bag-of-Words Visualization. 3344-3350
Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma:
Topic Aware Neural Response Generation. 3351-3357

Biao Zhang, Deyi Xiong, Jinsong Su:
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings. 3372-3378
Meng Zhang, Haoruo Peng, Yang Liu, Huan-Bo Luan, Maosong Sun:
Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision. 3379-3385
Ye Zhang, Matthew Lease, Byron C. Wallace:
Active Discriminative Text Representation Learning. 3386-3392
Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang:
Learning Context-Specific Word/Character Embeddings. 3393-3399
Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He:
Mechanism-Aware Neural Machine for Dialogue Response Generation. 3400-3407
Natural Language Processing and Text Mining
Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen:
Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. 3408-3414
Muthu Kumar Chandrasekaran, Carrie Demmans Epp, Min-Yen Kan, Diane J. Litman:
Using Discourse Signals for Robust Instructor Intervention Prediction. 3415-3421
Yanju Chen, Rong Pan:
Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression. 3422-3428
Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu:
Unsupervised Sentiment Analysis with Signed Social Networks. 3429-3435
Ying Ding, Jianfei Yu, Jing Jiang:
Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction. 3436-3442
Xianpei Han, Le Sun:
Distant Supervision via Prototype-Based Global Representation Learning. 3443-3449
Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao:
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. 3450-3456
Zhanming Jie, Aldrian Obaja Muis, Wei Lu:
Efficient Dependency-Guided Named Entity Recognition. 3457-3465
Canasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka:
Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks. 3466-3473
Bing Li, Xiaochun Yang, Bin Wang, Wei Cui:
Efficiently Mining High Quality Phrases from Texts. 3474-3481
Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu:
Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings. 3490-3496
Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing:
Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. 3497-3503
Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas:
Collaborative User Clustering for Short Text Streams. 3504-3510
Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
Word Embedding Based Correlation Model for Question/Answer Matching. 3511-3517
Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang:
Attentive Interactive Neural Networks for Answer Selection in Community Question Answering. 3525-3531
Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang:
Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning. 3532-3539
Planning and Scheduling
Meysam Aghighi, Christer Bäckström:
Plan Reordering and Parallel Execution - A Parameterized Complexity View. 3540-3546
Alessandro Cimatti, Andrea Micheli, Marco Roveri:
Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal Logic. 3547-3554
Giuseppe De Giacomo, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi:
On the Disruptive Effectiveness of Automated Planning for LTLf-Based Trace Alignment. 3555-3561
Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs. 3562-3568
Hugo Gilbert, Paul Weng, Yan Xu:
Optimizing Quantiles in Preference-Based Markov Decision Processes. 3569-3575
Zhuoru Li, Akshay Narayan, Tze-Yun Leong:
An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. 3583-3589
Nir Lipovetzky, Hector Geffner:
Best-First Width Search: Exploration and Exploitation in Classical Planning. 3590-3596
Kyle Lund, Sam Dietrich, Scott Chow, James C. Boerkoel:
Robust Execution of Probabilistic Temporal Plans. 3597-3604
Hang Ma, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding with Delay Probabilities. 3605-3612
Brent Mombourquette, Christian J. Muise, Sheila A. McIlraith:
Logical Filtering and Smoothing: State Estimation in Partially Observable Domains. 3613-3621
Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi:
Landmark-Based Heuristics for Goal Recognition. 3622-3628
Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein:
Fast SSP Solvers Using Short-Sighted Labeling. 3629-3635
Florian Pommerening, Malte Helmert, Blai Bonet:
Higher-Dimensional Potential Heuristics for Optimal Classical Planning. 3636-3643
Jendrik Seipp, Thomas Keller, Malte Helmert:
Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning. 3651-3657
Vikas Shivashankar, Ron Alford, David W. Aha:
Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning. 3658-3664
Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu:
Computational Issues in Time-Inconsistent Planning. 3665-3671
Erwin Walraven, Matthijs T. J. Spaan:
Accelerated Vector Pruning for Optimal POMDP Solvers. 3672-3678
Zizhan Zheng, Ness B. Shroff, Prasant Mohapatra:
When to Reset Your Keys: Optimal Timing of Security Updates via Learning. 3679-3685
Reasoning under Uncertainty
Mario Alviano, Giovanni Amendola, Rafael Peñaloza:
Minimal Undefinedness for Fuzzy Answer Sets. 3694-3700
Sara Bernardini, Maria Fox, Derek Long, Chiara Piacentini:
Deterministic versus Probabilistic Methods for Searching for an Evasive Target. 3709-3715
Alberto Camacho, Eleni Triantafillou, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith:
Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces. 3716-3724
Krishnendu Chatterjee, Petr Novotný, Guillermo A. Pérez, Jean-François Raskin, Dorde Zikelic:
Optimizing Expectation with Guarantees in POMDPs. 3725-3732
Juan D. Correa, Elias Bareinboim:
Causal Effect Identification by Adjustment under Confounding and Selection Biases. 3740-3746
Wolfgang Gatterbauer:
The Linearization of Belief Propagation on Pairwise Markov Random Fields. 3747-3753
Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann:
The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares. 3754-3760
Xiaowei Huang, Marta Zofia Kwiatkowska:
Reasoning about Cognitive Trust in Stochastic Multiagent Systems. 3768-3774
Radu Marinescu, Junkyu Lee, Alexander T. Ihler, Rina Dechter:
Anytime Best+Depth-First Search for Bounding Marginal MAP. 3775-3782
Radu Marinescu, Abdul Razak, Nic Wilson:
Multi-Objective Influence Diagrams with Possibly Optimal Policies. 3783-3789
Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern:
Hindsight Optimization for Hybrid State and Action MDPs. 3790-3796
Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf:
I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior. 3797-3803
Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel:
Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. 3804-3811
Robotics
Olov Andersson, Mariusz Wzorek, Patrick Doherty:
Deep Learning Quadcopter Control via Risk-Aware Active Learning. 3812-3818
Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn:
Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. 3819-3826
Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps. 3827-3833
Josiah P. Hanna, Peter Stone:
Grounded Action Transformation for Robot Learning in Simulation. 3834-3840
Hang Yin, Francisco S. Melo, Aude Billard, Ana Paiva:
Associate Latent Encodings in Learning from Demonstrations. 3848-3854
Shiqi Zhang, Piyush Khandelwal, Peter Stone:
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning. 3855-3863
Search and Constraint Satisfaction
Thomas Caridroit, Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail:
A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability Problem. 3864-3870
Marcelo Finger, Glauber De Bona:
Algorithms for Deciding Counting Quantifiers over Unary Predicates. 3878-3884
Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew M. Sutton:
Phase Transitions for Scale-Free SAT Formulas. 3893-3899
Ruth Hoffmann, Ciaran McCreesh, Craig Reilly:
Between Subgraph Isomorphism and Maximum Common Subgraph. 3907-3914

M. S. Ramanujan, Stefan Szeider:
Rigging Nearly Acyclic Tournaments Is Fixed-Parameter Tractable. 3929-3935
Saeedeh Shekarpour, Edgard Marx, Sören Auer, Amit P. Sheth:
RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem. 3936-3943
Cornelis Jan van Leeuwen, Przemyslaw Pawelczak:
CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP Solver. 3944-3950
Hélène Verhaeghe, Christophe Lecoutre, Pierre Schaus:
Extending Compact-Table to Negative and Short Tables. 3951-3957
Colin Wei, Stefano Ermon:
General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis. 3958-3966
Vision
Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki:
Regularized Diffusion Process for Visual Retrieval. 3967-3973
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu:
Collective Deep Quantization for Efficient Cross-Modal Retrieval. 3974-3980
Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han:
Reference Based LSTM for Image Captioning. 3981-3987
Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang:
A Multi-Task Deep Network for Person Re-Identification. 3988-3994
Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni:
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. 3995-4001
Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang:
Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval. 4002-4008
Zhen Dong, Su Jia, Chi Zhang, Mingtao Pei, Yuwei Wu:
Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition. 4009-4015
Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Sherlock: Scalable Fact Learning in Images. 4016-4024
Chuang Gan, Chen Sun, Ram Nevatia:
DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos. 4032-4038
Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji:
Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network. 4039-4045
Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan:
Active Video Summarization: Customized Summaries via On-line Interaction with the User. 4046-4052
Jun Guo, Hongyang Chao:
Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution. 4053-4060
Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels. 4061-4067
Emily M. Hand, Rama Chellappa:
Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification. 4068-4074
Xiangteng He, Yuxin Peng:
Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification. 4075-4081
Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang:
Video Recovery via Learning Variation and Consistency of Images. 4082-4088
Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Multi-Path Feedback Recurrent Neural Networks for Scene Parsing. 4096-4102
Chulmoo Kang, Gunhee Kim, Suk I. Yoo:
Detection and Recognition of Text Embedded in Online Images via Neural Context Models. 4103-4110
Suha Kwak, Seunghoon Hong, Bohyung Han:
Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. 4111-4117
Xiangyuan Lan, Pong C. Yuen, Rama Chellappa:
Robust MIL-Based Feature Template Learning for Object Tracking. 4118-4125
Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang:
Learning Patch-Based Dynamic Graph for Visual Tracking. 4126-4132
Linghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian:
Image Caption with Global-Local Attention. 4133-4139
Siyi Li, Dit-Yan Yeung:
Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models. 4140-4146
Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang:
A Multiview-Based Parameter Free Framework for Group Detection. 4147-4153
Zechao Li, Jinhui Tang:
Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment. 4154-4160
Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu:
TextBoxes: A Fast Text Detector with a Single Deep Neural Network. 4161-4167
Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu:
An Artificial Agent for Robust Image Registration. 4168-4175
Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille:
Attention Correctness in Neural Image Captioning. 4176-4182
Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li:
Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. 4183-4189
Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin:
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. 4190-4196

Chenxu Luo, Chang Ma, Chun-yu Wang, Yizhou Wang:
Learning Discriminative Activated Simplices for Action Recognition. 4211-4217
Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou:
Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization. 4218-4224
Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid, Konrad Schindler:
Online Multi-Target Tracking Using Recurrent Neural Networks. 4225-4232
Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong:
Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation. 4240-4246
A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo:
Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. 4247-4254
Michael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang:
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution. 4255-4262
Sijie Song, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jiaying Liu:
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data. 4263-4270
Xinhang Song, Luis Herranz, Shuqiang Jiang:
Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs. 4271-4277
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi:
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. 4278-4284
Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu:
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. 4285-4291
Qi Wang, Mulin Chen, Xuelong Li:
Quantifying and Detecting Collective Motion by Manifold Learning. 4292-4298
Yuanlu Xu, Xiaobai Liu, Lei Qin, Song-Chun Zhu:
Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing. 4299-4305
Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li:
Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification. 4306-4312
Arjun Yogeswaran, Pierre Payeur:
Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines. 4313-4319
Tan Yu, Yuwei Wu, Sreyasee Das Bhattacharjee, Junsong Yuan:
Efficient Object Instance Search Using Fuzzy Objects Matching. 4320-4326
Xin Yu, Fatih Porikli:
Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks. 4327-4333
Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun:
Leveraging Video Descriptions to Learn Video Question Answering. 4334-4340
Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng:
Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image. 4341-4348
Special Track on Cognitive Systems
Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn:
Natural Language Acquisition and Grounding for Embodied Robotic Systems. 4349-4356
Joseph A. Blass, Kenneth D. Forbus:
Analogical Chaining with Natural Language Instruction for Commonsense Reasoning. 4357-4363
Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inductive Reasoning about Ontologies Using Conceptual Spaces. 4364-4370
Mason Bretan, Gil Weinberg:
Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising Robot. 4371-4377
Guillem Collell, Ted Zhang, Marie-Francine Moens:
Imagined Visual Representations as Multimodal Embeddings. 4378-4384
Michael T. Cox, Dustin Dannenhauer, Sravya Kondrakunta:
Goal Operations for Cognitive Systems. 4385-4391
Wang-Zhou Dai, Zhi-Hua Zhou:
Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge. 4392-4398
Elias Fernández Domingos, Juan-Carlos Burguillo, Tom Lenaerts:
Reactive Versus Anticipative Decision Making in a Novel Gift-Giving Game. 4399-4405
Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick:
Towards Continuous Scientific Data Analysis and Hypothesis Evolution. 4406-4414
Smitha Milli, Falk Lieder, Thomas L. Griffiths:
When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? 4422-4428
Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya:
Scanpath Complexity: Modeling Reading Effort Using Gaze Information. 4429-4436
Abhishek Sharma, Keith M. Goolsbey:
Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis. 4437-4443
Robert Speer, Joshua Chin, Catherine Havasi:
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge. 4444-4451
Budhitama Subagdja, Ah-Hwee Tan:
Towards a Brain Inspired Model of Self-Awareness for Sociable Agents. 4452-4458
Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley:
Semantic Proto-Role Labeling. 4459-4466
Special Track on Computational Sustainability
Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse:
Matrix Factorisation for Scalable Energy Breakdown. 4467-4473
Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal:
Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data. 4474-4480
Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath:
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. 4481-4487
Leonardo Dueñas-Osorio, Kuldeep S. Meel, Roger Paredes, Moshe Y. Vardi:
Counting-Based Reliability Estimation for Power-Transmission Grids. 4488-4494
Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei:
Fine-Grained Car Detection for Visual Census Estimation. 4502-4508
André Ricardo Gonçalves, Arindam Banerjee, Fernando J. Von Zuben:
Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. 4509-4515
Rebecca A. Hutchinson, Liqiang He, Sarah C. Emerson:
Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise. 4516-4523
Alameen Najjar, Shun'ichi Kaneko, Yoshikazu Miyanaga:
Combining Satellite Imagery and Open Data to Map Road Safety. 4524-4530
Martin Péron, Kai Helge Becker, Peter Bartlett, Iadine Chades:
Fast-Tracking Stationary MOMDPs for Adaptive Management Problems. 4531-4537
XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein:
Robust Optimization for Tree-Structured Stochastic Network Design. 4545-4551
Yexiang Xue, XiaoJian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes:
Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. 4552-4558
Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon:
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. 4559-4566
Special Track on Integrated Systems
Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie, Xue Teng:
Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer's Disease. 4567-4573
Enrique Fernández-González, Erez Karpas, Brian Charles Williams:
Mixed Discrete-Continuous Planning with Convex Optimization. 4574-4580
Richard G. Freedman, Shlomo Zilberstein:
Integration of Planning with Recognition for Responsive Interaction Using Classical Planners. 4581-4588
Yosef Razin, Karen M. Feigh:
Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination. 4596-4602
Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime G. Carbonell, Jean Oh:
Vision-Language Fusion for Object Recognition. 4603-4610
Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li:
Building Task-Oriented Dialogue Systems for Online Shopping. 4618-4626
Innovative Applications of Artificial Intelligence Conference: Deployed Application Case Studies
Faizan Javed, Phuong Hoang, Thomas Mahoney, Matt McNair:
Large-Scale Occupational Skills Normalization for Online Recruitment. 4627-4634
Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. 4635-4643
Innovative Applications of Artificial Intelligence Conference: Emerging Application Case Studies
Rabah A. Al-Zaidy, C. Lee Giles:
A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly Documents. 4644-4649
Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan:
ParkUs: A Novel Vehicle Parking Detection System. 4650-4656
Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati:
UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS. 4657-4663
Negar Ghourchian, Michel Allegue-Martínez, Doina Precup:
Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning. 4670-4677
Arnaud Gotlieb, Marine Louarn, Mari Nygård, Tomás Ruiz-López, Sagar Sen, Roberta Gori:
Constraint-Based Verification of a Mobile App Game Designed for Nudging People to Attend Cancer Screening. 4678-4685
Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno:
Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. 4686-4693
Gollakota Kaushik, Abinaya Manimaran, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam:
Cracks Under Pressure? Burst Prediction in Water Networks Using Dynamic Metrics. 4694-4700
Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan:
Determining Relative Airport Threats from News and Social Media. 4701-4707
John Krumm, Eric Horvitz:
Risk-Aware Planning: Methods and Case Study for Safer Driving Routes. 4708-4714
Elad Liebman, Piyush Khandelwal, Maytal Saar-Tsechansky, Peter Stone:
Designing Better Playlists with Monte Carlo Tree Search. 4715-4720
Shiwali Mohan, Anusha Venkatakrishnan, Michael Silva, Peter Pirolli:
On Designing a Social Coach to Promote Regular Aerobic Exercise. 4721-4727
Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung:
Crowdsensing Air Quality with Camera-Enabled Mobile Devices. 4728-4733
Ruben Rodriguez Torrado, Jesus Rios, Gerald Tesauro:
Optimal Sequential Drilling for Hydrocarbon Field Development Planning. 4734-4739
Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill:
Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing. 4740-4745
Samarth Tripathi, Shrinivas Acharya, Ranti Dev Sharma, Sudhanshu Mittal, Samit Bhattacharya:
Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset. 4746-4752
Yi Wang, Joohyung Lee, Doo Soon Kim:
A Logic Based Approach to Answering Questions about Alternatives in DIY Domains. 4753-4759
Innovative Applications of Artificial Intelligence Conference: Challenge Problem Papers
Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh:
Automated Data Cleansing through Meta-Learning. 4760-4761
Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi:
Explainable Agency for Intelligent Autonomous Systems. 4762-4764
Educational Advances in Artificial Intelligence Symposium Full Papers
Debra T. Burhans, Karthik Dantu:
ARTY: Fueling Creativity through Art, Robotics and Technology for Youth. 4765-4770
Cindy M. Grimm, Alicia Lyman-Holt, William D. Smart:
A Summer Research Experience in Robotics. 4775-4780
Chen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Lee Giles:
Recovering Concept Prerequisite Relations from University Course Dependencies. 4786-4791
David R. Musicant, Abha Laddha, Tom Choi:
Open-Ended Robotics Exploration Projects for Budding Researchers. 4792-4797
Paul Ruvolo:
Dude, Where's My Robot?: A Localization Challenge for Undergraduate Robotics. 4798-4802
Zuozhi Yang, Todd W. Neller:
A Monte Carlo Localization Assignment Using a Neato Vacuum with ROS. 4803-4805
Andy Zhang, John Lee, Ciante Jones, Zachary Dodds:
An Image Wherever You Look! Making Vision Just Another Sensor for AI/Robotics Projects. 4806-4812
Educational Advances in Artificial Intelligence Symposium Poster Papers
Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada:
Application for AI-OCR Module: Auto Detection of Emails/Letter Images. 4813-4814
Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada:
Exploring Artificial Intelligence Through Image Recognition. 4815-4816
Elias Marcopoulos, Maede Rayatidamavandi, Crisel Suarez, Yuanlin Zhang:
Online SPARC for Drawing and Animation. 4817-4818
Matthew E. Taylor, Sakire Arslan Ay:
AI Projects for Computer Science Capstone Classes (Extended Abstract). 4819-4821
Educational Advances in Artificial Intelligence Symposium Model AI Assignments
Todd W. Neller, Joshua Eckroth, Sravana Reddy, Joshua Ziegler, Jason M. Bindewald, Gilbert L. Peterson, Thomas Way, Paula Matuszek, Lillian N. Cassel, Mary-Angela Papalaskari, Carol Weiss, Ariel Anders, Sertac Karaman:
Model AI Assignments 2017. 4822-4825
Senior Member Blue Sky

Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer:
Moral Decision Making Frameworks for Artificial Intelligence. 4831-4835

Gilles Pesant:
Getting More Out of the Exposed Structure in Constraint Programming Models of Combinatorial Problems. 4846-4851
Senior Member Summary Talks




Vincent Ng:
Machine Learning for Entity Coreference Resolution: A Retrospective Look at Two Decades of Research. 4877-4884

Student Abstracts
Piotr Antonik, Marc Haelterman, Serge Massar:
Improving Performance of Analogue Readout Layers for Photonic Reservoir Computers with Online Learning. 4899-4900
Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar:
Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback. 4901-4902
Masataro Asai, Alex Fukunaga:
Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract). 4903-4904
Luigi Asprino, Valentina Presutti, Aldo Gangemi, Paolo Ciancarini:
Frame-Based Ontology Alignment. 4905-4906
Rodrigo Cesar Bonini, Felipe Leno da Silva, Anna Helena Reali Costa:
Learning Options in Multiobjective Reinforcement Learning. 4907-4908
Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua:
Towards User Personality Profiling from Multiple Social Networks. 4909-4910
Keisuke Daimon, Richard W. Hedley, Charles E. Taylor:
Semantic Inference of Bird Songs Using Dynamic Bayesian Networks. 4911-4912
Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa:
An Advising Framework for Multiagent Reinforcement Learning Systems. 4913-4914
Jordan DeLoach, Doina Caragea, Xinming Ou:
Android Malware Detection with Weak Ground Truth Data. 4915-4916
Wenchao Du, Pascal Poupart, Wei Xu:
Discovering Conversational Dependencies between Messages in Dialogs. 4917-4918
Elias Fernández Domingos, Juan-Carlos Burguillo, Ann Nowé, Tom Lenaerts:
Coordinating Human and Agent Behavior in Collective-Risk Scenarios. 4919-4920
Corina Florescu, Cornelia Caragea:
A Position-Biased PageRank Algorithm for Keyphrase Extraction. 4923-4924
Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury:
Handwriting Profiling Using Generative Adversarial Networks. 4927-4928
Josiah P. Hanna, Peter Stone:
Grounded Action Transformation for Robot Learning in Simulation. 4931-4932
Josiah P. Hanna, Peter Stone, Scott Niekum:
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation. 4933-4934
Shan He, Mark Wallace, Campbell Wilson, Ariel Liebman:
Fast Electrical Demand Optimization Under Real-Time Pricing. 4935-4936
Zheqi He, Yafeng Zhou, Yongtao Wang, Zhi Tang:
SReN: Shape Regression Network for Comic Storyboard Extraction. 4937-4938
Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang:
Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost. 4939-4940
Yuu Jinnai, Alex Fukunaga:
Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains. 4943-4944
Wasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui:
Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering. 4945-4946
Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein:
Redesigning Stochastic Environments for Maximized Utility. 4947-4948
Taylor W. Killian, George Konidaris, Finale Doshi-Velez:
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. 4949-4950
Saravana Kumar, Prasath Rengarajan, Arockia Xavier Annie:
Wikitop: Using Wikipedia Category Network to Generate Topic Trees. 4951-4952
Dae Hyun Lee, Eric Horvitz:
Predicting Mortality of Intensive Care Patients via Learning about Hazard. 4953-4954
Xiaoming Li, Hui Fang, Jie Zhang:
Rethinking the Link Prediction Problem in Signed Social Networks. 4955-4956
Fang Liu, Xiaojun Wan:
ATSUM: Extracting Attractive Summaries for News Propagation on Microblogs. 4957-4958
Hengshuang Liu, Pengcheng Ai, Junling Chen:
A Systematic Practice of Judging the Success of a Robotic Grasp Using Convolutional Neural Network. 4959-4960
Hanqing Lu, Ming Kong:
Community-Based Question Answering via Contextual Ranking Metric Network Learning. 4963-4964
Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das:
Semantic Interpretation of Social Network Communities. 4967-4968


Akshay Narayan, Zhuoru Li, Tze-Yun Leong:
SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL. 4975-4976
Kazuki Nomoto, Yuko Sakurai, Makoto Yokoo:
Coalition Structure Generation Utilizing Graphical Representation of Partition Function Games. 4977-4978
Xiaoyu Qi, Deshun Yang, Xiaoou Chen:
Audio Feature Learning with Triplet-Based Embedding Network. 4979-4980
Walid Ahmed Fouad Shalaby, Wlodek Zadrozny:
Semantic Representation Using Explicit Concept Space Models. 4983-4984
Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty. 4985-4986
Nishant Subramani, Doug Downey:
PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures. 4987-4988
Atena M. Tabakhi:
Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings. 4989-4990
Nattapong Thammasan, Ken-ichi Fukui, Masayuki Numao:
Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition. 4991-4992
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson:
Predicting User Roles from Computer Logs Using Recurrent Neural Networks. 4993-4994
Sunny Verma, Wei Liu, Chen Wang, Liming Zhu:
Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization. 4995-4996


Qingren Wang, Victor S. Sheng, Xindong Wu:
Keyphrase Extraction with Sequential Pattern Mining. 5003-5004
Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere:
Cycle-Based Singleton Local Consistencies. 5005-5006
Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer:
Enhancing the Privacy of Predictors. 5009-5010
Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen:
Attention Based LSTM for Target Dependent Sentiment Classification. 5013-5014
Min Yang, Dingju Zhu, Yong Tang, Jingxuan Wang:
Authorship Attribution with Topic Drift Model. 5015-5016
Xiaoyu Zeng, Ruohan Zhang:
Participatory Art Museum: Collecting and Modeling Crowd Opinions. 5017-5018
Fandong Zhang, Jufu Feng:
High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding. 5019-5020
Hao Zhang, Chunyan Miao, Han Yu, Cyril Leung:
A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly. 5021-5022

Doctoral Consortium

Adam Amos-Binks:
Problem Formulation for Accommodation Support in Plan-Based Interactive Narratives. 5030-5031
Muhammad Usman Arif:
An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams. 5032-5033
Felipe Leno da Silva, Anna Helena Reali Costa:
Accelerating Multiagent Reinforcement Learning through Transfer Learning. 5034-5035
Ruben Glatt, Anna Helena Reali Costa:
Improving Deep Reinforcement Learning with Knowledge Transfer. 5036-5037


Feng Liu:
A Supervised Sparse Learning Framework to Solve EEG Inverse Problem for Discriminative Activations Pattern. 5044-5045
Anna Lukina:
V for Verification: Intelligent Algorithm of Checking Reliability of Smart Systems. 5046-5047



Julia Wiedmann:
Joint Learning of Structural and Textual Features for Web Scale Event Extraction. 5056-5057
What's Hot
Tomás Balyo, Marijn J. H. Heule, Matti Järvisalo:
SAT Competition 2016: Recent Developments. 5061-5063

Catholijn M. Jonker, Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Takayuki Ito, Koen V. Hindriks:
Automated Negotiating Agents Competition (ANAC). 5070-5072


Demonstrations
Mason Bretan, Sageev Oore, Jesse Engel, Douglas Eck, Larry P. Heck:
Deep Music: Towards Musical Dialogue. 5081-5082
Yaohua Bu, Taoran Tang, Jia Jia, Zhiyuan Ma, Songyao Wu, Yuming You:
AniDraw: When Music and Dance Meet Harmoniously. 5083-5084
Jingtian Fu, Yejun Liu, Jia Jia, Yihui Ma, Fanhang Meng, Huan Huang:
A Virtual Personal Fashion Consultant: Learning from the Personal Preference of Fashion. 5087-5088
Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer F. Syeda-Mahmood:
Efficient Clinical Concept Extraction in Electronic Medical Records. 5089-5090
Ting-Yao Hu, Chirag Raman, Salvador Medina Maza, Liangke Gui, Tadas Baltrusaitis, Robert E. Frederking, Louis-Philippe Morency, Alan W. Black, Maxine Eskénazi:
Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System. 5091-5092
Lu Jiang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander G. Hauptmann:
Visual Memory QA: Your Personal Photo and Video Search Agent. 5093-5094
Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark James Carman:
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation. 5095-5096
Junwei Liang, Desai Fan, Han Lu, Poyao Huang, Jia Chen, Lu Jiang, Alexander G. Hauptmann:
An Event Reconstruction Tool for Conflict Monitoring Using Social Media. 5097-5098
Junwei Liang, Lu Jiang, Alexander G. Hauptmann:
Webly-Supervised Learning of Multimodal Video Detectors. 5099-5100
Jiayu Long, Jia Jia, Han Xu:
SenseRun: Real-Time Running Routes Recommendation towards Providing Pleasant Running Experiences. 5101-5102
Ian E. Perera, James F. Allen, Lucian Galescu, Choh Man Teng, Mark H. Burstein, Scott E. Friedman, David D. McDonald, Jeffrey M. Rye:
Natural Language Dialogue for Building and Learning Models and Structures. 5103-5104



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